Point-Cloud Instance Segmentation for Spinning Laser Sensors
In this paper, we face the point-cloud segmentation problem for spinning laser sensors from a deep-learning (DL) perspective. Since the sensors natively provide their measurements in a 2D grid, we directly use state-of-the-art models designed for visual information for the segmentation task and then...
Saved in:
| Main Authors: | Alvaro Casado-Coscolla, Carlos Sanchez-Belenguer, Erik Wolfart, Vitor Sequeira |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/10/12/325 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Initial Pose Estimation Method for Robust LiDAR-Inertial Calibration and Mapping
by: Eun-Seok Park , et al.
Published: (2024-12-01) -
Real-Time Semantic Segmentation of 3D LiDAR Point Clouds for Aircraft Engine Detection in Autonomous Jetbridge Operations
by: Ihnsik Weon, et al.
Published: (2024-10-01) -
A review of road 3D modeling based on light detection and ranging point clouds
by: Bin Yu, et al.
Published: (2024-12-01) -
A segmentation method for LiDAR point clouds of aerial slender targets
by: Birong Huang, et al.
Published: (2025-01-01) -
Inc-DLOM: Incremental Direct LiDAR Odometry and Mapping
by: Kaiduo Fang, et al.
Published: (2025-01-01)